Artificial Intelligence & Machine Learning
The concept in which a modeling error where a model is too simple to capture the underlying pattern in the data, resulting in poor performance on both training and new data is best known as which of these terms?
Difficulty: Medium
About this MCQ
This Medium Artificial Intelligence & Machine Learning MCQ checks one syllabus fact.
The question is: “The concept in which a modeling error where a model is too simple to capture the underlying pattern in the data, resulting in poor performance on both training and new data is best known as which of these terms?”
The accepted answer is B. Underfitting. Underfitting refers to a modeling error where a model is too simple to capture the underlying pattern in the data, resulting in poor performance on both training and new data.
- A. Chatbot
Why not A: “Chatbot” is not correct. The accepted answer is B. Underfitting. Underfitting refers to a modeling error where a model is too simple to capture the underlying pattern in the data, resulting in poor performance on both training and new data.
- B. Underfitting ✓
- C. Bias-variance tradeoff
Why not C: “Bias-variance tradeoff” is not correct. The accepted answer is B. Underfitting. Underfitting refers to a modeling error where a model is too simple to capture the underlying pattern in the data, resulting in poor performance on both training and new data.
- D. Clustering
Why not D: “Clustering” is not correct. The accepted answer is B. Underfitting. Underfitting refers to a modeling error where a model is too simple to capture the underlying pattern in the data, resulting in poor performance on both training and new data.
Correct answer
B. Underfitting
Explanation
Underfitting refers to a modeling error where a model is too simple to capture the underlying pattern in the data, resulting in poor performance on both training and new data.
Source: Artificial Intelligence & Machine Learning Official Reference Guide
Tags: computer science, AI, machine learning, data science
Submitted by: MCQsHub Editorial
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